Synesketch: An Open Source Library for Sentence-Based Emotion Recognition

@article{Krcadinac2013SynesketchAO,
  title={Synesketch: An Open Source Library for Sentence-Based Emotion Recognition},
  author={Uros Krcadinac and Philippe Pasquier and Jelena Jovanovic and Vladan Devedzic},
  journal={IEEE Transactions on Affective Computing},
  year={2013},
  volume={4},
  pages={312-325}
}
Online human textual interaction often carries important emotional meanings inaccessible to computers. We propose an approach to textual emotion recognition in the context of computer-mediated communication. The proposed recognition approach works at the sentence level and uses the standard Ekman emotion classification. It is grounded in a refined keyword-spotting method that employs: a WordNet-based word lexicon, a lexicon of emoticons, common abbreviations and colloquialisms, and a set of… CONTINUE READING
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